Ensayo clínico aleatorizado y controlado para valorar una intervención por una unidad de hospitalización domiciliaria en la reducción de reingresos y muerte en pacientes dados de alta del hospital tras un ingreso por insuficiencia cardiaca

Effects of nurse-led transitional care interventions for patients with heart failure on healthcare utilization: A meta-analysis of randomized controlled trials

BACKGROUND

Heart failure (HF) imposes a substantial burden on patients and healthcare systems. Hospital-to-home transitional care, involving time-limited interventions delivered predominantly by nurses, was introduced to lighten this burden. This study aimed to examine the effectiveness and dose-response of nurse-led transitional care interventions (TCIs) on healthcare utilization among patients with HF.

METHODS

Health-related databases were systematically searched for articles published from January 2000 to June 2020. We included randomized controlled trials (RCTs) that compared nurse-led TCIs with usual care for adults hospitalized with HF and reported the following healthcare utilization outcomes: all-cause readmissions, HF-specific readmissions, emergency department visits, or length of hospital stay. Random-effects meta-analysis, meta-regression analysis, and dose-response analysis were performed to estimate the treatment effects and explain the heterogeneity.

RESULTS

Twenty-five RCTs including 8422 patients with HF were included. Nurse-led TCIs for patients with HF resulted in a mean 9% (RR = 0.91; 95% CI = 0.82 to 0.99; p = 0.04; I2 = 46%) and 29% (RR = 0.71; 95% CI = 0.60 to 0.84; p < 0.0001; I2 = 0%) reduction in all-cause and HF-specific readmission risks respectively compared to usual care. The interventions were also effective in shortening the length of hospital stay (MD = -2.37; 95% CI = -3.16 to -1.58; p < 0.0001; I2 = 14%). However, no significant reduction was found for emergency department visits (RR = 0.96; 95% CI = 0.84 to 1.10; p = 0.58; I2 = 0%). The effect of meta-regression coefficients on all-cause and HF-specific readmissions was not statistically significant for any prespecified trial-level characteristic. Dose-response analysis revealed that the HF-specific readmission risk decreased in a dose-dependent manner with the complexity and intensity of nurse-led TCIs.

CONCLUSIONS

Nurse-led TCIs were effective in decreasing all-cause and HF-specific readmission risks, as well as in reducing the length of hospital stay; however, the interventions were not effective in reducing the frequency of emergency department visits.

Effectiveness of Nurse-Led Heart Failure Self-Care Education on Health Outcomes of Heart Failure Patients: A Systematic Review and Meta-Analysis

Poor self-care behaviors can lead to an increase in the risk of adverse health outcomes among patients with heart failure. Although a number of studies have investigated the effectiveness of nurse-led self-care education, the evidence regarding the effects of nurse-led intervention in heart failure remains uncertain. This study aimed to evaluate evidence on the effectiveness of nurse-led heart failure self-care education on health outcomes in patients with heart failure. To identify studies testing nurse-led education designed to improve self-care among heart failure patients, comprehensive search methods were used between January 2000 and October 2019 to systematically search six electronic databases: PubMed, CINAHL, Embase, Cochrane library, Web of Science, and SCOPUS. All the eligible study data elements were independently assessed and analyzed using random-effects meta-analysis methods. Of 612 studies, eight articles were eligible for this study. Nurse-led heart failure self-care education significantly reduced the risk of all-cause readmission (risk ratio (RR) = 0.75, 95% confidence interval (CI) = 0.66–0.85), heart failure specific readmission (RR = 0.60, 95% CI = 0.42–0.85), and all-cause mortality or readmission (RR = 0.71, 95% CI = 0.61–0.82). However, nurse-led heart failure self-care education was not associated with improvements in the quality of life and heart failure knowledge. Studies on the effectiveness of nurse-led heart failure self-care education mostly report only the positive effects on patients’ health outcomes, whereas evidence of the effectiveness of the nurse-led approach is still limited. Therefore, high quality randomized controlled trials with detailed and explicit descriptions on the components of the interventions are needed.

Relationship between changes of electrocardiogram indexes in chronic heart failure with arrhythmia and serum PIIINP and BNP

Relationship between changes of electrocardiogram (ECG) indexes in chronic heart failure (CHF) with arrhythmia and serum type III procollagen amino-terminal peptide (PIIINP) and brain natriuretic peptide (BNP) were evaluated. From December 2017 to December 2018, 101 patients with heart failure (HF) were collected. Among them, 48 patients with HF and slow arrhythmia were in group A, and 53 cases of HF with non-slow arrhythmia were sin group B, including 33 males and 20 females. BNP was detected by chemiluminescence and PIIINP was detected by immunoassay. The changes of ECG indexes in the two groups, the correlation between serum PIIINP and BNP and NYHA classification of cardiac function, and the correlation between ECG indexes and PIIINP and BNP were detected. ROC curve analysis of BNP and PIIINP in the diagnosis of slow HF was carried out. Serum PIIINP and BNP in group A were significantly higher than those in group B (P<0.05). The levels of PIIINP and BNP in serum of NYHA patients with different cardiac functions, and those in serum of patients with class III were significantly higher than those of group II (P<0.05), while significantly lower than those of group IV (P<0.05). The heart rate and Q-T interval in group A were significantly higher than those in group B (P<0.05). The P-R interval and QES wave group in group A were significantly lower than those in group B (P<0.05). BNP had a positive correlation with Hr and G-T, and was negatively correlated with P-R and QRS; PIIINP was positively correlated with Hr and G-T, and had a negative correlation with P-R, QRS and BNP; PIIINP had positive correlation with NYHA; ECG indexes were correlated with BNP and PIIINP, and had diagnostic value for CHF. Using ECG indexes to predict BNP and PIIINP levels was conducive to the diagnosis of CHF.

Self-Care Interventions That Reduce Hospital Readmissions in Patients With Heart Failure; Towards the Identification of Change Agents

Unplanned hospital readmissions are the most important, preventable cost in heart failure (HF) health economics. Current professional guidelines recommend that patient self-care is an important means by which to reduce this burden. Patients with HF should be engaged in their care such as by detecting, monitoring, and managing their symptoms. A variety of educational and behavioural interventions have been designed and implemented by health care providers to encourage and support patient self-care. Meta-analyses support the use of self-care interventions to improve patient self-care and reduce hospital readmissions; however, efficacy is variable. The aim of this review was to explore methods to achieve greater clarity and consistency in the development and reporting of self-care interventions to enable ‘change agents’ to be identified. We conclude that advancement in this field requires more explicit integration and reporting on the behaviour change theories that inform the design of self-care interventions and the selection of behaviour change techniques. The systematic application of validated checklists, such as the Theory Coding Scheme and the CALO-RE taxonomy, will improve the systematic testing and refinement of interventions to enable ‘change agent/s’ to be identified and optimised.

Disease management interventions for heart failure

BACKGROUND

Despite advances in treatment, the increasing and ageing population makes heart failure an important cause of morbidity and death worldwide. It is associated with high healthcare costs, partly driven by frequent hospital readmissions. Disease management interventions may help to manage people with heart failure in a more proactive, preventative way than drug therapy alone. This is the second update of a review published in 2005 and updated in 2012.

OBJECTIVES

To compare the effects of different disease management interventions for heart failure (which are not purely educational in focus), with usual care, in terms of death, hospital readmissions, quality of life and cost-related outcomes.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase and CINAHL for this review update on 9 January 2018 and two clinical trials registries on 4 July 2018. We applied no language restrictions.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) with at least six months' follow-up, comparing disease management interventions to usual care for adults who had been admitted to hospital at least once with a diagnosis of heart failure. There were three main types of intervention: case management; clinic-based interventions; multidisciplinary interventions.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane. Outcomes of interest were mortality due to heart failure, mortality due to any cause, hospital readmission for heart failure, hospital readmission for any cause, adverse effects, quality of life, costs and cost-effectiveness.

MAIN RESULTS

We found 22 new RCTs, so now include 47 RCTs (10,869 participants). Twenty-eight were case management interventions, seven were clinic-based models, nine were multidisciplinary interventions, and three could not be categorised as any of these. The included studies were predominantly in an older population, with most studies reporting a mean age of between 67 and 80 years. Seven RCTs were in upper-middle-income countries, the rest were in high-income countries.Only two multidisciplinary-intervention RCTs reported mortality due to heart failure. Pooled analysis gave a risk ratio (RR) of 0.46 (95% confidence interval (CI) 0.23 to 0.95), but the very low-quality evidence means we are uncertain of the effect on mortality due to heart failure. Based on this limited evidence, the number needed to treat for an additional beneficial outcome (NNTB) is 12 (95% CI 9 to 126).Twenty-six case management RCTs reported all-cause mortality, with low-quality evidence indicating that these may reduce all-cause mortality (RR 0.78, 95% CI 0.68 to 0.90; NNTB 25, 95% CI 17 to 54). We pooled all seven clinic-based studies, with low-quality evidence suggesting they may make little to no difference to all-cause mortality. Pooled analysis of eight multidisciplinary studies gave moderate-quality evidence that these probably reduce all-cause mortality (RR 0.67, 95% CI 0.54 to 0.83; NNTB 17, 95% CI 12 to 32).We pooled data on heart failure readmissions from 12 case management studies. Moderate-quality evidence suggests that they probably reduce heart failure readmissions (RR 0.64, 95% CI 0.53 to 0.78; NNTB 8, 95% CI 6 to 13). We were able to pool only two clinic-based studies, and the moderate-quality evidence suggested that there is probably little or no difference in heart failure readmissions between clinic-based interventions and usual care (RR 1.01, 95% CI 0.87 to 1.18). Pooled analysis of five multidisciplinary interventions gave low-quality evidence that these may reduce the risk of heart failure readmissions (RR 0.68, 95% CI 0.50 to 0.92; NNTB 11, 95% CI 7 to 44).Meta-analysis of 14 RCTs gave moderate-quality evidence that case management probably slightly reduces all-cause readmissions (RR 0.92, 95% CI 0.83 to 1.01); a decrease from 491 to 451 in 1000 people (95% CI 407 to 495). Pooling four clinic-based RCTs gave low-quality and somewhat heterogeneous evidence that these may result in little or no difference in all-cause readmissions (RR 0.90, 95% CI 0.72 to 1.12). Low-quality evidence from five RCTs indicated that multidisciplinary interventions may slightly reduce all-cause readmissions (RR 0.85, 95% CI 0.71 to 1.01); a decrease from 450 to 383 in 1000 people (95% CI 320 to 455).Neither case management nor clinic-based intervention RCTs reported adverse effects. Two multidisciplinary interventions reported that no adverse events occurred. GRADE assessment of moderate quality suggested that there may be little or no difference in adverse effects between multidisciplinary interventions and usual care.Quality of life was generally poorly reported, with high attrition. Low-quality evidence means we are uncertain about the effect of case management and multidisciplinary interventions on quality of life. Four clinic-based studies reported quality of life but we could not pool them due to differences in reporting. Low-quality evidence indicates that clinic-based interventions may result in little or no difference in quality of life.Four case management programmes had cost-effectiveness analyses, and seven reported cost data. Low-quality evidence indicates that these may reduce costs and may be cost-effective. Two clinic-based studies reported cost savings. Low-quality evidence indicates that clinic-based interventions may reduce costs slightly. Low-quality data from one multidisciplinary intervention suggested this may be cost-effective from a societal perspective but less so from a health-services perspective.

AUTHORS' CONCLUSIONS

We found limited evidence for the effect of disease management programmes on mortality due to heart failure, with few studies reporting this outcome. Case management may reduce all-cause mortality, and multidisciplinary interventions probably also reduce all-cause mortality, but clinic-based interventions had little or no effect on all-cause mortality. Readmissions due to heart failure or any cause were probably reduced by case-management interventions. Clinic-based interventions probably make little or no difference to heart failure readmissions and may result in little or no difference in readmissions for any cause. Multidisciplinary interventions may reduce the risk of readmission for heart failure or for any cause. There was a lack of evidence for adverse effects, and conclusions on quality of life remain uncertain due to poor-quality data. Variations in study location and time of occurrence hamper attempts to review costs and cost-effectiveness.The potential to improve quality of life is an important consideration but remains poorly reported. Improved reporting in future trials would strengthen the evidence for this patient-relevant outcome.

Strategies to Modify the Risk of Heart Failure Readmission: A Systematic Review and Meta-Analysis

Background:

Human factors play an important role in health-care outcomes of heart failure (HF) patients. A systematic review and meta-analysis of clinical trial studies on HF hospitalization may yield positive proofs of the beneficial effect of specific care management strategies.

Purpose:

To investigate how the 8 guiding principles of choice, rest, environment, activity, trust, interpersonal relationships, outlook, and nutrition reduce HF readmissions.

Basic Procedures:

Appropriate keywords were identified related to the (1) independent variable of hospitalization and treatment, (2) the moderating variable of care management principles, (3) the dependent variable of readmission, and (4) the disease of HF to conduct searches in 9 databases. Databases searched included CINAHL, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, ERIC, MEDLINE, PubMed, PsycInfo, Science Direct, and Web of Science. Only prospective studies associated with HF hospitalization and readmissions, published in English, Chinese, Spanish, and German journals between January 1, 1990, and August 31, 2015, were included in the systematic review. In the meta-analysis, data were collected from studies that measured HF readmission for individual patients.

Main Findings:

The results indicate that an intervention involving any human factor principles may nearly double an individual’s probability of not being readmitted. Participants in interventions that incorporated single or combined principles were 1.4 to 6.8 times less likely to be readmitted.

Principal Conclusions:

Interventions with human factor principles reduce readmissions among HF patients. Overall, this review may help reconfigure the design, implementation, and evaluation of clinical practice for reducing HF readmissions in the future.

Impact of Transitional Care Services for Chronically Ill Older Patients: A Systematic Evidence Review

Transitions in care from hospital to primary care for older patients with chronic diseases (CD) are complex and lead to increased mortality and service use. In response to these challenges, transitional care (TC) interventions are being widely implemented. They encompass education on self-management, discharge planning, structured follow-up and coordination among the different healthcare professionals. We conducted a systematic review to determine the effectiveness of interventions targeting transitions from hospital to the primary care setting for chronically ill older patients.. Randomized controlled trials were identified through Medline, CINHAL, PsycInfo, EMBASE (1995-2015). Two independent reviewers performed the study selection, data extraction and assessment of study quality (Cochrane "Risk of Bias"). Risk differences (RD) and number needed to treat (NNT) or mean differences (MD) were calculated using a random-effects model. From 10,234 references, 92 studies were included. Compared to usual care, significantly better outcomes were observed: a lower mortality at 3 (RD: -0.02 [-0.05, 0.00]; NNT: 50), 6, 12 and 18 months post-discharge, a lower rate of ED visits at 3 months (RD: -0.08 [-0.15, -0.01]; NNT: 13), a lower rate of readmissions at 3 (RD: -0.08 [-0.14, -0.03]; NNT: 7), 6, 12 and 18 months and a lower mean of readmission days at 3 (MD: -1.33; [-2.15, -0.52]), 6, 12 and 18 months. No significant differences were observed in quality of life. In conclusion, TC improves transitions for older patients and should be included in the reorganization of healthcare services.

Comparative effectiveness of transitional care services in patients discharged from the hospital with heart failure: a systematic review and network meta-analysis

AIMS

To compare the effectiveness of transitional care services in decreasing all-cause death and all-cause readmissions following hospitalization for heart failure (HF).

METHODS AND RESULTS

We searched PubMed, Embase, CINAHL, and Cochrane Clinical Trials Register for randomized controlled trials (RCTs) published in 2000-2015 that tested the efficacy of transitional care services in patients hospitalized for HF, provided ≥1 month of follow-up, and reported all-cause mortality or all-cause readmissions. Our network meta-analysis included 53 RCTs (12 356 patients). Among services that significantly decreased all-cause mortality compared with usual care, nurse home visits were most effective [ranking P-score 0.6794; relative risk (RR) 0.78, 95% confidence intervals (CI) 0.62-0.98], followed by disease management clinics (DMCs) (ranking P-score 0.6368; RR 0.80, 95% CI 0.67-0.97). Among services that significantly decreased all-cause readmission, nurse home visits were most effective [ranking P-score 0.8365; incident rate ratio (IRR) 0.65, 95% CI 0.49-0.86], followed by nurse case management (NCM) (ranking P-score 0.6168; IRR 0.77, 95% CI 0.63-0.95), and DMCs (ranking P-score 0.5691; IRR 0.80, 95% CI 0.66-0.97). There was no significant difference in the comparative effectiveness of services that improved each outcome. Nurse home visits had the greatest pooled cost-savings (3810 USD, 95% CI 3682-3937), followed by NCM (3435 USD, 95% CI 3224-3645), and DMCs (245 USD, 95% CI -70 to 559). Telephone, telemonitoring, pharmacist, and education interventions did not significantly improve clinical outcomes.

CONCLUSION

Nurse home visits and DMCs decrease all-cause mortality after hospitalization for HF. Along with NCM, they also reduce all-cause readmissions, with no significant difference in comparative effectiveness. These services reduce healthcare system costs to varying degrees.

Classification and Quality Standards of Heart Failure Units: Scientific Consensus of the Spanish Society of Cardiology

The prevalence of heart failure remains high and represents the highest disease burden in Spain. Heart failure units have been developed to systematize the diagnosis, treatment, and clinical follow-up of heart failure patients, provide a structure to coordinate the actions of various entities and personnel involved in patient care, and improve prognosis and quality of life. There is ample evidence on the benefits of heart failure units or programs, which have become widespread in Spain. One of the challenges to the analysis of heart failure units is standardization of their classification, by determining which "programs" can be identified as heart failure "units" and by characterizing their complexity level. The aim of this article was to present the standards developed by the Spanish Society of Cardiology to classify and establish the requirements for heart failure units within the SEC-Excellence project.

What Are Effective Program Characteristics of Self-Management Interventions in Patients With Heart Failure? An Individual Patient Data Meta-analysis

BACKGROUND

To identify those characteristics of self-management interventions in patients with heart failure (HF) that are effective in influencing health-related quality of life, mortality, and hospitalizations.

METHODS AND RESULTS

Randomized trials on self-management interventions conducted between January 1985 and June 2013 were identified and individual patient data were requested for meta-analysis. Generalized mixed effects models and Cox proportional hazard models including frailty terms were used to assess the relation between characteristics of interventions and health-related outcomes. Twenty randomized trials (5624 patients) were included. Longer intervention duration reduced mortality risk (hazard ratio 0.99, 95% confidence interval [CI] 0.97-0.999 per month increase in duration), risk of HF-related hospitalization (hazard ratio 0.98, 95% CI 0.96-0.99), and HF-related hospitalization at 6 months (risk ratio 0.96, 95% CI 0.92-0.995). Although results were not consistent across outcomes, interventions comprising standardized training of interventionists, peer contact, log keeping, or goal-setting skills appeared less effective than interventions without these characteristics.

CONCLUSION

No specific program characteristics were consistently associated with better effects of self-management interventions, but longer duration seemed to improve the effect of self-management interventions on several outcomes. Future research using factorial trial designs and process evaluations is needed to understand the working mechanism of specific program characteristics of self-management interventions in HF patients.

Do Self-Management Interventions Work in Patients With Heart Failure? An Individual Patient Data Meta-Analysis

BACKGROUND

Self-management interventions are widely implemented in the care for patients with heart failure (HF). However, trials show inconsistent results, and whether specific patient groups respond differently is unknown. This individual patient data meta-analysis assessed the effectiveness of self-management interventions in patients with HF and whether subgroups of patients respond differently.

METHODS AND RESULTS

A systematic literature search identified randomized trials of self-management interventions. Data from 20 studies, representing 5624 patients, were included and analyzed with the use of mixed-effects models and Cox proportional-hazard models, including interaction terms. Self-management interventions reduced the risk of time to the combined end point of HF-related hospitalization or all-cause death (hazard ratio, 0.80; 95% confidence interval [CI], 0.71-0.89), time to HF-related hospitalization (hazard ratio, 0.80; 95% CI, 0.69-0.92), and improved 12-month HF-related quality of life (standardized mean difference, 0.15; 95% CI, 0.00-0.30). Subgroup analysis revealed a protective effect of self-management on the number of HF-related hospital days in patients <65 years of age (mean, 0.70 versus 5.35 days; interaction P=0.03). Patients without depression did not show an effect of self-management on survival (hazard ratio for all-cause mortality, 0.86; 95% CI, 0.69-1.06), whereas in patients with moderate/severe depression, self-management reduced survival (hazard ratio, 1.39; 95% CI, 1.06-1.83, interaction P=0.01).

CONCLUSIONS

This study shows that self-management interventions had a beneficial effect on time to HF-related hospitalization or all-cause death and HF-related hospitalization alone and elicited a small increase in HF-related quality of life. The findings do not endorse limiting self-management interventions to subgroups of patients with HF, but increased mortality in depressed patients warrants caution in applying self-management strategies in these patients.

Tailoring of self-management interventions in patients with heart failure

The effectiveness of heart failure (HF) self-management interventions varies within patients suggesting that one size does not fit all. It is expected that effectiveness can be optimized when interventions are tailored to individual patients. The aim of this review was to synthesize the literature on current use of tailoring in self-management interventions and patient characteristics associated with self-management capacity and success of interventions, as building blocks for tailoring. Within available trials, the degree to which interventions are explicitly tailored is marginal and often limited to content. We found that certain patient characteristics that are associated with poor self-management capacity do not influence effectiveness of a given intervention (i.e., age, gender, ethnicity, disease severity, number of comorbidities) and that other characteristics (low: income, literacy, education, baseline self-management capacity) in fact are indicators of patients with a high likelihood for success. Increased scientific efforts are needed to continue unraveling success of self-management interventions and to validate the modifying impact of currently known patient characteristics.

[Hospital at home for acutely ill older]

The aging of population uses to evolve suffering from chronic diseases, many times in pluripathological shaped, which may engender frailty, disability and, as a last term, dependence. The aggravation of those and/or the appearance of others acute processes become the old people into a regular patient of our hospitals. The hospital at home (HaH) has showed that it may play an important role in the provision of range hospital cares to these patients, unimpaired of efficacy and security; but with indubitable benefits within the scope of their comfort (physical, psychical) and in the field of their functional condition. Available technical means at the present day and the staff's professionalism from these units make easier that any serious illness, medical or surgical, will be subsidiary in this type of attention sometime during their hospital care process. The HaH permits a more efficient rationalization of sanitary resources and should play an important role in the longed for interconnection between primary attention and specialized one.